THERMAL SCIENCE

International Scientific Journal

Thermal Science - Online First

online first only

Study on finite element method coupled with genetic algorithm in optimization for temperature uniformity of hot plate welding

ABSTRACT
Aiming to improve the temperature uniformity used for hot plate welding, two optimal design methods by coupling finite element method (FEM) with genetic algorithm (GA) are put forward and implemented into FEM software through the secondary development. Taking the positions of the heating holes and the heat fluxes applying to the heating holes as the optimization variables, the minimum temperature difference on the faying surface as the optimization objective, taking advantage of the numerical calculation of steady-state heat transfer, the parametric modeling of hot plate is carried out in accordance with the developed FEM-GA coupling optimization framework. The first optimal design method adopts a two-stage sequent optimization that the optimal positions of heating holes and the heat fluxes applying to the heating holes are sequentially obtained by using the two-step FEM-GA coupling calculations. The second optimal design method optimizes these variables simultaneously. The simultaneous optimal design method is further utilized to optimize the hot plate model associated with the orthogonal heating holes. In the case of the experience-based initialization of the optimization parameters, the two-stage sequent optimal design method is capable to achieve the better temperature uniformity on the faying surfaces with the lower computation costs, as compared with the results of the simultaneous optimal design method. The FEM-GA coupling optimal design method for improving the temperature uniformity used for hot plate welding would be of great significance for the industrial application of hot plate welding.
KEYWORDS
PAPER SUBMITTED: 2024-11-12
PAPER REVISED: 2024-11-25
PAPER ACCEPTED: 2024-12-01
PUBLISHED ONLINE: 2025-02-16
DOI REFERENCE: https://doi.org/10.2298/TSCI241112022W
REFERENCES
  1. Yawen, O., Chao, C. , Research Advances in t he Mechanical Joining Process for Fiber Reinforced Plastic Composites , Composite Structures , 296 (2022) , pp. 115906
  2. Kwon, D.J. , et al ., Enhanced Mechanical Joining between Carbon - Fiber - Reinforced Plastic and Steel Plates Using the Clearance - Filling Effect of Structural Adhesive , Applied Sciences - Basel , 13( 2023 ) , 7, pp. 4332
  3. Tofil , S . , et al ., Surface Laser Micropatterning of Polyethylene ( PE ) to In crease t he Shearing Strength of Adhesive Joints , Lubricants , 11 (2023), 9 , pp. 368
  4. Ma , G . , et al ., Mechanical Performance of Adhesively Bonded Carbon Fiber Reinforced Boron‐ Modified Phenolic Resin Plastic‐Titanium Single‐Lap Joints at High Temperature , Polymer Composites , 45( 2024 ) , 1 , pp. 777 - 791
  5. Varga , J . , et al ., Quality Analysis of Bonded Joints in The Renovation of Plastic Automotive Parts , Applied Sciences - Basel , 14( 2023 ) , 1, pp. 217
  6. Ülker , A . , et al ., Optimization of Welding Parameters of Hot Plate Welded PC / ABS Blends by Using t he Taguchi Experimental Design Method , Journal of Elastomers and Plastics , 50 (2018), 2 , pp. 162 - 181
  7. Ülker , A . , et al ., Application of the Taguchi Method for the Optimization of the Strength of Polyamide 6 Composite Hot Plate Welds , Materials Science and Technology , 57 (2015), 6 , pp. 531 - 542
  8. Wang , G . , et al ., Multi - Objective Optimization Design of The Heating/Cooling Channels of the Steam - Heating Rapid Thermal Response Mold Using Particle Swarm Optimization , International Journal of Thermal Sciences , 50 (2011), 5 , pp. 790 - 802
  9. Chen , S . C . , et al ., Variable Mold Temperature to Improve Surface Quality of Microcellular Injection Molded Parts Using Induction Heating Technology , Advances in Polyme r Technology , 27 (2008) , pp, 224 - 232
  10. Chen , S . C . , et al ., Mold Temperature Control Using High - Frequency Proximity Effect Induced Heating , International Communications i n Heat a nd Mass Transfer , 39 (2012), 2 , pp. 216 - 223
  11. Lambiase , F . , Genna , S . , Homogenization of Temperature Distribution at Metal - Polymer Interface During Laser Direct Joining , Optics and Laser Technology , 128 (2020) , pp. 106226
  12. Lambiase , F . , et al ., Optimization of Laser - Assisted Joining Through an Integrated Experimental - Simulat ion Approach , International Journal of Advanced Manufacturing Technology , 97 (2018), (5 - 8) , pp. 2655 - 2666
  13. Alperen , Y . , Sertac , C . , Multi Objective Optimization of a Micro - Channel Heat Sink Through Genetic Algorithm, International Journal of Heat and Mass Transfer , 146 (2020) , pp. 118847
  14. Novakovic , B . , Kashkoush , M . , Modeling the Matching Stage of HDPE Hot Plate Welding: A Study Using Regression and Support Vector Machine Models , Polymer Engineering and Science , 64 (2024), 2 , pp. 827 - 844
  15. Mathiyazhagan , K . , e t al ., Modeling the Interrelationship Between the Parameters for Improving Weld Strength in Plastic Hot Plate Welding: A DEMATEL Approach , Journal of Elastomers and Plastics , 52 (2020), 2 , pp. 117 - 141
  16. Krzysztof , W . , et al ., Experimental Approach to Modeling of the Plasticizing Operation in the Hot Plate Welding Process , Archives o f Civil a nd Mechanical Engineering , 22 (2021), 1 , pp. 16
  17. Krzysztof , W . , et al ., Designing of the Electromechanical Drive for Automated Hot Plate Welder Using Load Optimization with Genetic Algorithm , Materials , 15 (2022), 5 , pp. 1787
  18. Riahi , M . , et al ., Analysis of Effect of Pressure and Heat on Mechanical Characteristics of Butt Fusion Welding of Polyethylene Pipes , Polymer - Plastics Technology and Engineering , 50 (2011), 9 , pp. 907 - 915
  19. Jiang, M., et al., Optimization of Micro - Channel Heat Sink Based on Genetic Algorithm and Back Propagation Neural Network, Thermal Science, 27(2023), 1A, pp. 179 - 193
  20. Taheri, Y., et al., Multi - Objective Optimization of Three Rows of Film Cooling Hol es by Genetic Algorithm, Thermal Science, 25(2021), 5A, pp.3531 - 3541
  21. Corriveau, G., et al., Genetic Algorithms and Finite Element Coupling for Mechanical Optimization, Advances in Engineering Software, 41(2010), 3, pp. 422 - 426
  22. Kanssab, A., et al., Modeling and Optimization of Induction Cooking by the Use of Magneto - Thermal Finite Element Analysis and Genetic Algorithms, Frontiers of Electrical and Electronic Engineering, 7(2012), pp . 312 - 317
  23. Ya, G., et al. Geometric Optimization for the Thermoelectric Generator with Variable Cross - Section Legs by Coupling Finite Element Method and Optimization Algorithm, Renewable Energy, (2022), pp.183294 - 303
  24. Srinivas, M., Patnaik, M. L., et al., Adaptive Probabilities of Crossover and Mutation in Genetic Algorithms, IEEE Trans. Systems, Man, and Cybernetics, 24(1994), 4, pp. 656 - 667